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ARS Home » Plains Area » Temple, Texas » Grassland Soil and Water Research Laboratory » Research » Publications at this Location » Publication #350041

Research Project: Resilient Management Systems and Decision Support Tools to Optimize Agricultural Production and Watershed Responses from Field to National Scale

Location: Grassland Soil and Water Research Laboratory

Title: Modeling crop water productivity using a coupled SWAT-MODSIM model

Author
item VAGHEFI, SAEID - Eawag - Swiss Federal Institute Of Aquatic Science And Technology
item ABBASPOUR, KARIM - Eawag - Swiss Federal Institute Of Aquatic Science And Technology
item FARAMARI, MONIREH - University Of Alberta
item SRINIVASAN, RAGHAVAN - Texas A&M University
item Arnold, Jeffrey

Submitted to: Water
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/17/2017
Publication Date: 2/24/2017
Publication URL: http://handle.nal.usda.gov/10113/5922780
Citation: Vaghefi, S.A., Abbaspour, K.C., Faramari, M., Srinivasan, R., Arnold, J.G. 2017. Modeling crop water productivity using a coupled SWAT-MODSIM model. Water. 9(157):1-15. https://doi.org/10.3390/w9030157.
DOI: https://doi.org/10.3390/w9030157

Interpretive Summary: With decreasing water supplies worldwide, crop productivity in irrigated regions is of critical importance. In this study, the hydrological model (SWAT) was linked with a river basin allocation model (MODSIM). The linked model was applied in the Karkheh River Basin in Iran to determine the water productivity of irrigated wheat and corn yields. The linked SWAT-MODSIM system improved the accuracy of river flows by considering the water allocation provided by MODSIM. Also, crop water productivity (ratio of grain yield and water uptake) was simulated across the basin to optimize water allocation within the basin. The system provides a useful tool for assessment of strategies for optimum crop production under limited irrigation.

Technical Abstract: This study examines the water productivity of irrigated wheat and maize yields in Karkheh River Basin (KRB) in the semi-arid region of Iran using a coupled modeling approach consisting of the hydrological model (SWAT) and the river basin water allocation model (MODSIM). Dynamic irrigation requirements instead of constant time series of demand were considered. As the cereal production of KRB plays a major role in supplying the food market of Iran, it is necessary to understand the crop yield-water relations for irrigated wheat and maize in the lower part of KRB (LKRB) where most of the irrigated agricultural plains are located. Irrigated wheat and maize yields (Y) and consumptive water use (AET) were modeled with uncertainty analysis at a subbasin level for 1990–2010. Simulated Y and AET were used to calculate crop water productivity (CWP). The coupled SWAT–MODSIM approach improved the accuracy of SWAT outputs by considering the water allocation derived from MODSIM. The results indicated that the highest CWP across this region was 1.31 kg·m-3 and 1.13 kg·m-3 for wheat and maize, respectively; and the lowest was less than 0.62 kg·m-3 and 0.58 kg·m-3. A close linear relationship was found for CWP and yield. The results showed a continuing increase for AET over the years while CWP peaks and then declines. This is evidence of the existence of a plateau in CWP as AET continues to increase and evidence of the fact that higher AET does not necessarily result in a higher yield.